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Separability in State‐Level Agricultural Technology
Author(s) -
Lim Hongil,
Shumway C. Richard
Publication year - 1992
Publication title -
american journal of agricultural economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.949
H-Index - 111
eISSN - 1467-8276
pISSN - 0002-9092
DOI - 10.2307/1242996
Subject(s) - nonparametric statistics , agriculture , econometrics , production (economics) , state (computer science) , agricultural productivity , data aggregator , computer science , statistics , economics , agricultural economics , mathematics , algorithm , microeconomics , geography , computer network , wireless sensor network , archaeology
A nonparametric analysis of separability in agricultural production technology was conducted using state‐level data. Both deterministic (exhaustive search) and stochastic (measurement error) tests were performed. The empirical findings do not rule out a reasonable amount of data aggregation, both among inputs and among outputs. The nature and extent of the justified aggregation varies widely among states, supporting the notion that the structure of agricultural production varies in important ways across states.